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datahandlingstatistics

# datahandlingstatistics - Data Handling/Statistics There is...

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Data Handling/Statistics There is no substitute for books— — you need professional help! My personal favorites, from which this lecture is drawn: The Cartoon Guide to Statistics, L. Gonick & W. Smith Data Reduction in the Physical Sciences, P. R. Bevington Workshop Statistics, A. J. Rossman & B. L. Chance Numerical Recipes, W.H. Press, B.P. Flannery, S.A. Teukolsky and W.T.Vetterling Origin 6.1 Users Manual, MicroCal Corporation

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Outline Our motto What those books look like Stuff you need to be able to look up Samples & Populations Mean, Standard Deviation, Standard Error Probability Random Variables Propagation of Errors Stuff you must be able to do on a daily basis Plot Fit Interpret
Our Motto That which can be taught can be learned. The “progress” of civilization relies being able to do more and more things while thinking less and less about them. An opposing, non-CMC IGERT viewpoint

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What those books look like The Cartoon Guide to Statistics
The Cartoon Guide to Statistics In this example, the author provides step-by-step analysis of the statistics of a poll. Similar logic and style tell you how to tell two populations apart, whether your measley five replicate runs truly represent the situation, etc. The Cartoon Guide gives an enjoyable account of statistics in scientific and everyday life.

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An Introduction to Error Analysis A very readable text, but with enough math to be rigorous. The cover says it all – the book’s emphasis is how statistics and error analysis are important in the everyday. Author John Taylor is known as “Mr. Wizard” at Univ. of Colorado, for his popular science lectures aimed at youngsters.
Bevington Bevington is really good at introducing basic concepts, along with simple code that really, really works. Our lab uses a lot of Bevington code, often translated from Fortran to Visual Basic.

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“Workshop Statistics” This book has a website full of data that it tells you how to analyze. The test cases are often pretty interesting, too. Many little shadow boxes provide info.
“Numerical Recipes” A more modern and thicker version of Bevington. Code comes in Fortran, C, Basic (others?). Includes advanced topics like digital filtering, but harder to read on the simpler things. With this plus Bevington and a lot of time, you can fit, smooth, filter practically anything.

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Stuff you need to be able to look up Samples vs. Populations The world as we understand it, based on science. The world as God understands it, based on omniscience. Statistics is not art but artifice–a bridge to help us understand phenomena, based on limited observations.
Our problem Sitting behind the target, can we say with some specific level of confidence whether a circle drawn around this single arrow (a measurement) hits the bullseye (the population mean)?

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datahandlingstatistics - Data Handling/Statistics There is...

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